Project team: Dimitrij Kozuch, Marek Splichal, Runar Bergheim, Raitis Berzins, Irena Koskova, Stepan Kafka, Simon Leitgeb
Today we propose to you the
idea that “maps” are interesting not only as visualizations of volunteered
geographical information (VGI) data capturing through semi-voluntary projects —
but as shareable, fascinating and valuable VGI objects in themselves. So why do
we believe that the “map” is an object that people would like to share — and
why do we believe that it proves added value to peoples lives?
There currently exists
hundreds of services offering spatial information through real-time interactive
protocols such as WMS and WFS etc. Soon, if member states and signatories to
INSPIRE do as they are legally obliged, this number will be thousands — ten
The fact that a map is a
composite object referring to a lot of live data sources around the net,
require the existence of a “Map Composition” standard that describes the
elements that constitute a map and how they should be combined to fit together
An early effort by the OGC was the Web Map Context
specification that has not evolved since 2005. This little bit ‘heavyweight’ XML-based
standard is limited in scope and has not evolved with the developments in
standards and technology in the 11 years that have passed since its creation.
Recently the three European Community funded projects SDI4Apps, Foodie and OTN have started the work of
defining a simple, lightweight specification for Map Compositions using HTML5-
Now best example using this principles is educational Environmental Atlas of of the Liberec Region.
For schools and educational
purposes and also for different VGI task will be useful be able to display this
Map composition on desktop clients. We decide developed plugin, which will
support utilization of Map composition
inside of QGIS.
Project leaders: Raul Palma rpalma(at)man.poznan.pl and Karel Panek
Team members: Otakar Čerba (University of West Bohemia)
The goal will be to use semantic technologies to identify duplicities in SPOI in case of data coming from different resources and with different attributes. Data will be compared and checked against other information sources to improve general quality of SPOI database. The proposed approach will also integrate advanced parsing technology, knowledge base with extensive model of selected natural language(s), and selected classification methods. Along with consistent fuzzy duplicates detection, the technology provides a robust foundation for dynamic categorisation and verification, i. e. against more diverse data sources and across languages.